DementiaCASAS/HHNCT01782157
Smart Environment Technology for Longitudinal Behavior Analysis and Intervention
An observational study of Dementia, run by Washington State University at 3 sites in United States.
Trial summary
The world's population is aging and the resulting prevalence of chronic illnesses is a challenge that our society must address. The vision is to address this challenge by designing smart environment technologies that keep older adults functioning independently in their own homes as long as possible. Read more about this study
- Who is it for?
- Ages 75 years and olderHealthy volunteers can take part
- Conditions the study is for
- Dementia
- How many people
- 44 participants
- Where
- 3 sitesUnited States
- Study dates
- Jan 2013to Dec 2018
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 75 years and older
- All sexes
- Healthy volunteers accepted
- Older adult
Study population: Participants are older adults age 75+ who are currently living independently.
Who may be able to join
- fluent in English
- cognitively health adults and adults who meet criteria for Mild Cognitive Impairment (CDR score >= 0.5)
Who cannot join
- current or recent (past year) psychoactive substance abuse
- history of cerebrovascular accidents
- other known medical, neurological or psychiatric causes of cognitive dysfunction (Parkinson's schizophrenia, TBI)
Trial locations and contacts
3 sites in 1 country.
United States3 sites
Horizon House
Seattle, Washington, 98101
Moran Vista Senior Living
Spokane, Washington, 99223
Rockwood Retirement Communities
Spokane, Washington, 99223
About this study
The world's population is aging and the resulting prevalence of chronic illnesses is a challenge that our society must address. The vision is to address this challenge by designing smart environment technologies that keep older adults functioning independently in their own homes as long as possible. Smart environments have been used as the basis of monitoring activities for residents with health conditions. However, there is currently a lack of large scale, longitudinal research to identify early markers of dementia and other health status changes and to predict functional decline. The objective of this project is to perform a 5-year longitudinal study of older adults performing daily activities in their own smart homes.
Read the detailed description
By tracking residents' daily behavior over a long period of time our intelligent software can perform automated functional assessment and identify trends that are indicators of acute health changes and slower progressive decline (e.g., dementia). By implementing prompt-based interventions that support functional independence and promote healthy lifestyle behaviors (e.g., social contact, exercise, regular sleep), the investigators can improve overall health and well-being. The investigators hypothesize that smart home technologies can be used to detect and predict functional change, to slow functional change and extend functional independence, and to improve quality of life in elderly individuals who are at risk of transitioning to mild cognitive impairment and to dementia. This hypothesis has been formulated on the basis of preliminary data produced by the applicants which supports the efficacy of using smart home technologies for both functional status assessment and for prompting the initiation and completion of activities in individuals with mild cognitive impairment and dementia. The rationale of the proposed work is that understanding the natural history of functional change between aging and dementia will lead to early prevention and proactive interventions that will slow functional change, thereby delaying nursing home placement and cost of care to society. The investigators plan to pursue the following specific aims: (1) Characterize the daily lifestyle of smart environment residents through minimal-supervision activity recognition and activity discovery, (2) Design software algorithms that detect trends in behavioral data, and (3) Evaluate the efficacy of activity-aware automated prompting technology for extending functional independence and improving quality of life. The proposed work is innovative because it will track a large number of individuals longitudinal in their own homes and determine whether this technology can be used to promote healthy lifestyle behaviors and detect health care changes that may lead to early interventions, improved quality of life, and decreased health care utilization. The project is significant because it will introduce new technologies for activity discovery and tracking that require minimal-supervision, contribute algorithms that predict cognitive decline and signal more acute health status change, and demonstrate for the first time that activity-aware automated prompting technologies can be used to support and/or slow functional change and to increase quality of life in elderly individuals.
- Conditions
- Dementia
- Keywords
- dementia
- Medical subject headings
- Dementia
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Prompt intervention | The prompt intervention group will receive context-aware text, audio, and video prompts to initiate specified activities of daily living. | |
| No prompt intervention | The no prompt intervention will not receive any prompts to initiate activities of daily living. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change from Baseline in Clinical Dementia Rating
Change in CDR score from baseline
Measured: 24 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted1 Feb 2013 (estimated)
- Study startJan 2013
- Primary completionDec 2018
- Study completionDec 2018
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for DementiaStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 44 participants (actual)
Sponsor and investigators
- Lead sponsor
- Washington State University
- Sponsor type
- University, hospital or other
- Collaborators
- National Institute for Biomedical Imaging and Bioengineering (NIBIB)
- Responsible party
- Principal investigator, Diane Cook, Washington State University
- Investigators
- Diane Cook, PhD, Principal investigator, Washington State University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT01782157
- Sponsor's protocol ID
- R01EB015853-01A1
- Other IDs
- R01EB015853-01A1
- Acronym
- CASAS/HH
- Status last verified
- Apr 2023
- First submitted
- 18 Dec 2012
- Last updated
- 27 Apr 2023
- Results posted
- No
- Data monitoring committee
- No
Study at a glance
From the registry record, last updated by the sponsor on 27 Apr 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Smart Environment Technology for Longitudinal Behavior Analysis and Intervention
- ClinicalTrials.gov ID
- NCT01782157
- Acronym / sponsor ID
- CASAS/HH / R01EB015853-01A1
- Conditions
- Dementia
- Keywords
- dementia
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 44 participants (actual)
- Lead sponsor
- Washington State UniversityUniversity, hospital or other
- Collaborators
- National Institute for Biomedical Imaging and Bioengineering (NIBIB)
- Study start
- Jan 2013
- Primary completion
- Dec 2018 (actual)
- Study completion
- Dec 2018 (actual)
- First posted
- 1 Feb 2013 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The world's population is aging and the resulting prevalence of chronic illnesses is a challenge that our society must address. The vision is to address this challenge by designing smart environment technologies that keep older adults functioning independently in their own homes as long as possible. Smart environments have been used as the basis of monitoring activities for residents with health conditions. However, there is currently a lack of large scale, longitudinal research to identify early markers of dementia and other health status changes and to predict functional decline. The objective of this project is to perform a 5-year longitudinal study of older adults performing daily activities in their own smart homes.
Detailed description
By tracking residents' daily behavior over a long period of time our intelligent software can perform automated functional assessment and identify trends that are indicators of acute health changes and slower progressive decline (e.g., dementia). By implementing prompt-based interventions that support functional independence and promote healthy lifestyle behaviors (e.g., social contact, exercise, regular sleep), the investigators can improve overall health and well-being. The investigators hypothesize that smart home technologies can be used to detect and predict functional change, to slow functional change and extend functional independence, and to improve quality of life in elderly individuals who are at risk of transitioning to mild cognitive impairment and to dementia. This hypothesis has been formulated on the basis of preliminary data produced by the applicants which supports the efficacy of using smart home technologies for both functional status assessment and for prompting the initiation and completion of activities in individuals with mild cognitive impairment and dementia. The rationale of the proposed work is that understanding the natural history of functional change between aging and dementia will lead to early prevention and proactive interventions that will slow functional change, thereby delaying nursing home placement and cost of care to society. The investigators plan to pursue the following specific aims: (1) Characterize the daily lifestyle of smart environment residents through minimal-supervision activity recognition and activity discovery, (2) Design software algorithms that detect trends in behavioral data, and (3) Evaluate the efficacy of activity-aware automated prompting technology for extending functional independence and improving quality of life. The proposed work is innovative because it will track a large number of individuals longitudinal in their own homes and determine whether this technology can be used to promote healthy lifestyle behaviors and detect health care changes that may lead to early interventions, improved quality of life, and decreased health care utilization. The project is significant because it will introduce new technologies for activity discovery and tracking that require minimal-supervision, contribute algorithms that predict cognitive decline and signal more acute health status change, and demonstrate for the first time that activity-aware automated prompting technologies can be used to support and/or slow functional change and to increase quality of life in elderly individuals.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Prompt intervention | – | –The prompt intervention group will receive context-aware text, audio, and video prompts to initiate specified activities of daily living. |
| No prompt intervention | – | –The no prompt intervention will not receive any prompts to initiate activities of daily living. |
Who may qualify
- Ages
- 75 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Older adult
- Study population
- Participants are older adults age 75+ who are currently living independently.
Key inclusion criteria (2 listed)
- fluent in English
- cognitively health adults and adults who meet criteria for Mild Cognitive Impairment (CDR score >= 0.5)
Key exclusion criteria (3 listed)
- current or recent (past year) psychoactive substance abuse
- history of cerebrovascular accidents
- other known medical, neurological or psychiatric causes of cognitive dysfunction (Parkinson's schizophrenia, TBI)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Change from Baseline in Clinical Dementia Rating
Time frame: 24 months
Change in CDR score from baseline
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 27 Apr 2023.
Related trials for Dementia
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Diane Cook, PhD principal investigator
Washington State University
3 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Dementia, run by Washington State University at 3 sites in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 27 Apr 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 3 sites in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change from Baseline in Clinical Dementia Rating (time frame: 24 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 27 Apr 2023.